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Examining edge congestion
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Source Conference on Human Factors in Computing Systems archive
CHI '01 extended abstracts on Human factors in computing systems table of contents
Seattle, Washington
POSTER SESSION: Interactive posters: visualizing table of contents
Pages: 115 - 116  
Year of Publication: 2001
ISBN:1-58113-340-5
Authors
M. S. T. Carpendale  University of Calgary, Calgary, Alberta, Canada
X. Rong  University of Calgary, Calgary, Alberta, Canada
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Citation Count: 1
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ABSTRACT

Many applications have emerged that attempt to visualize various aspects of web structure, links, and usage history. These visualizations often rely on graphs to provide a general view and reveal individual relationships. However, these relationships which are explicit in the graph structure are often not visually accessible due to edge congestion problems. In this paper we discuss edge congestion issues and present an interactive approach to handling them. Our edge-displacement algorithm temporarily adjusts the graph layout without distorting the user's mental map. Our algorithm opens up sufficient space to clarify relationship details without moving nodes at all; only edges are shifted.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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R. A. Becker and S. G. Eick. Graphical methods to analyze network data. In IEEE International Conference on Communications ICC'93, 946-951, 1993.
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K. Misue, P. Eades, W. Lai, and K. Sugiyama. Layout adjustment and the mental map. Journal of Visual Languages and Computing, 6(2):183-210, 1995


Collaborative Colleagues:
M. S. T. Carpendale: colleagues
X. Rong: colleagues